Evelyn E.C. de Jong
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Pulmonary and Respiratory Medicine top 1%
- Biomedical Engineering top 2%
- Oncology top 5%
- Artificial Intelligence top 2%
- Co-authors
- Janita E. van TimmerenPhilippe LambinArthur JochemsSebastian SanduleanuRalph T. H. LeijenaarWouter van ElmptHenry C. WoodruffRuben T. H. M. Larue
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)Medical Imaging Techniques and Applications (6 papers)Lung Cancer Diagnosis and Treatment (6 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Partner nations
- NetherlandsGermanyItaly
In The Last Decade
Evelyn E.C. de Jong
16 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 4.0k
- Pulmonary and Respiratory Medicine 1.6k
- Biomedical Engineering 1.1k
- Oncology 870
- Artificial Intelligence 600
Countries citing papers authored by Evelyn E.C. de Jong
This map shows the geographic impact of Evelyn E.C. de Jong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Evelyn E.C. de Jong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evelyn E.C. de Jong more than expected).
Fields of papers citing papers by Evelyn E.C. de Jong
This network shows the impact of papers produced by Evelyn E.C. de Jong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Evelyn E.C. de Jong. The network helps show where Evelyn E.C. de Jong may publish in the future.
Co-authorship network of co-authors of Evelyn E.C. de Jong
This figure shows the co-authorship network connecting the top 25 collaborators of Evelyn E.C. de Jong. A scholar is included among the top collaborators of Evelyn E.C. de Jong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evelyn E.C. de Jong. Evelyn E.C. de Jong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 30 | |
| 3 | 31 | |
| 4 | 23 | |
| 5 | 100 | |
| 6 | 25 | |
| 7 | 41 | |
| 8 | 1 | |
| 9 | 176 | |
| 10 | Radiomics: the bridge between medical imaging and personalized medicinebreakdown → | 3729 |
| 11 | 10 | |
| 12 | 194 | |
| 13 | 5 | |
| 14 | 15 | |
| 15 | 76 | |
| 16 | 20 |
About Evelyn E.C. de Jong
Evelyn E.C. de Jong is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Geriatrics and Gerontology, having authored 16 papers that have together received 4.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.0k citations), Health Informatics (214 citations) and Pulmonary and Respiratory Medicine (1.6k citations). Evelyn E.C. de Jong has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Janita E. van Timmeren, Philippe Lambin, Arthur Jochems, Sebastian Sanduleanu, Ralph T. H. Leijenaar, Wouter van Elmpt, Henry C. Woodruff, Ruben T. H. M. Larue, Aniek J.G. Even and Jurgen Peerlings. Their work appears in journals such as European Journal of Cancer, Nature Reviews Clinical Oncology and Physics in Medicine and Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.